GentleRain is a new causally consistent geo-replicated data store that provides throughput
comparable to eventual consistency and superior to current implementations of causal …

We describe the design, implementation, and evaluation of Occult (Observable Causal
Consistency Using Lossy Timestamps), the first scalable, geo-replicated data store that …

This paper presents the design, implementation, and evaluation of Saturn, a metadata
service for geo-replicated systems. Saturn can be used in combination with several …

We propose two protocols that provide scalable causal consistency for both partitioned and
replicated data stores using dependency matrices (DM) and physical clocks. The DM …

We consider the problem of separating consistency-related safety properties from availability
and durability in distributed data stores via the application of a" bolt-on" shim layer that …

Geo-replicated, distributed data stores that support complex online applications, such as
social networks, must provide an" always-on" experience where operations always complete …

Causal consistency is the strongest consistency model that is available in the presence of
partitions and provides useful semantics for human-facing distributed services. Here, we …

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that
offers causal+ consistency, with high performance, fault-tolerance, and scalability …

We consider the setting of serverless Function-as-a-Service (FaaS) platforms, where storage
services are disaggregated from the machines that support function execution. FaaS …

Modern replicated data stores aim to provide high availability, by immediately responding to
client requests, often by implementing objects that expose concurrency. Such objects, for …